cnalty

cnalty's Stars

• Naton1/osrs-pvp-reinforcement-learning

  Train a neural network to PvP in Old School RuneScape using reinforcement learning.

  Language:Java7722

• pskrunner14/trading-bot

  Stock Trading Bot using Deep Q-Learning

  Language:Jupyter Notebook984341

• AI4Finance-Foundation/FinRL

  FinRL: Financial Reinforcement Learning. 🔥

  Language:Jupyter Notebook10.1k2.4k

• ngruver/llmtime

  Language:Jupyter Notebook698160

• lllyasviel/Fooocus

  Focus on prompting and generating

  Language:Python41.5k5.9k

• Skylark0924/awesome-bimanual-manipulation

  Robot bimanual manipulation / dual-arm manipulation

  1709

• Baekalfen/PyBoy

  Game Boy emulator written in Python

  Language:Python4.6k476

• PennyDreadfulMTG/Penny-Dreadful-Tools

  A suite of tools for the Penny Dreadful MTGO community

  Language:Python4128

• PennyDreadfulMTG/MagicOnlineReplayTool

  Language:C#9

• shanice-l/gdrnpp_bop2022

  PyTorch Implementation of GDRNPP, winner (most of the awards) of the BOP Challenge 2022 at ECCV'22

  Language:C++24551

• NVlabs/BundleSDF

  [CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

  Language:Python1.1k118

• ck-kai/SGPA

  [ICCV'21] SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation

  Language:Python414

• Card-Forge/forge

  An unofficial rules engine for the world's greatest card game.

  Language:Java1k571

• Denys88/rl_games

  RL implementations

  Language:Jupyter Notebook921152

• hsahovic/poke-env

  A python interface for training Reinforcement Learning bots to battle on pokemon showdown

  Language:Python297103

• google-deepmind/bsuite

  bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

  Language:Python1.5k182

• JDBumgardner/stone_ground_hearth_battles

  Language:Python202

• ikostrikov/pytorch-a2c-ppo-acktr-gail

  PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

  Language:Python3.6k829

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python5.7k644

• araffin/rl-baselines-zoo

  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

  Language:Python1.1k208

• higgsfield/RL-Adventure

  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

  Language:Jupyter Notebook3k589